The code is now hosted on GitHub, and split into three parts. The client Python library (vmprof-python),
the server (vmprof-server) and a repo to do integration testing!

Old JitViewer

You need to use PyPy to run this. To get started, using a recent virtualenv
(1.6.1 or newer), virtualenvwrapper, and a recent PyPy.

PyPy versions correspond to jitviewer tags, so pypy-1.9 tag in jitviewer
means it works with pypy 1.9.

On Mac OSX you will also need to install binutils, to make objdump available.

To create a virtualenv (note that mkvirtualenv only accepts absolute paths):

mkvirtualenv --python=/path/to/pypy pypy-viewer

Now install the dependencies:

pip install -r requirements.txt

or

python setup.py develop

It also requires pypy to be importable (as in source code), you can do this
by setting your PYTHONPATH enviroment variable. Make sure that this
source code is (roughly) the same version as the binary pypy that produced
the log file.